Triple
T1146444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persephone |
E23576
|
entity |
| Predicate | seasonalResidencePattern |
P6740
|
FINISHED |
| Object | spends part of the year in the underworld |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: spends part of the year in the underworld | Statement: [Persephone, seasonalResidencePattern, spends part of the year in the underworld]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalResidencePattern Context triple: [Persephone, seasonalResidencePattern, spends part of the year in the underworld]
-
A.
residencyPattern
chosen
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
B.
hasSeasonalPattern
Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
-
C.
migratoryBehavior
Indicates the pattern, timing, and routes of movement that an entity follows when migrating from one location or region to another.
-
D.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
E.
seasonCharacterization
Indicates how a particular season is described, defined, or characterized in terms of its qualities or attributes.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.